160 search results - page 2 / 32 » Adaptive importance sampling in general mixture classes |
117
Voted
ICDM
2008
IEEE
15 years 7 months ago
2008
IEEE
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
100
Voted
NECO
2000
15 years 28 days ago
2000
The class of finite mixtures of multivariate Bernoulli distributions is known to be nonidentifiable, i.e., different values of the mixture parameters can correspond to exactly the...
128
Voted
ENGL
2007
15 years 1 months ago
2007
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
119
Voted
ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
—In Dirichlet process (DP) mixture models, the number of components is implicitly determined by the sampling parameters of Dirichlet process. However, this kind of models usually...
106
Voted
ICRA
2008
IEEE
15 years 7 months ago
2008
IEEE
Abstract— The widespread success of sampling-based planning algorithms stems from their ability to rapidly discover the connectivity of a configuration space. Past research has ...